Author: Hakan Ardo <[email protected]>
Branch: extradoc
Changeset: r4886:a5576fd34d4f
Date: 2012-10-19 14:05 +0200
http://bitbucket.org/pypy/extradoc/changeset/a5576fd34d4f/
Log: intro to demo
diff --git a/talk/dls2012/presentation/talk.tex
b/talk/dls2012/presentation/talk.tex
--- a/talk/dls2012/presentation/talk.tex
+++ b/talk/dls2012/presentation/talk.tex
@@ -17,11 +17,32 @@
\usepackage[english]{babel}
+\usepackage{fancyvrb}
\usepackage{listings}
\usepackage{ulem}
\usepackage{color}
\usepackage{alltt}
+
+\usepackage[T1]{fontenc}
+\usepackage{setspace}
+\usepackage[scaled=0.81]{beramono}
+\definecolor{gray}{rgb}{0.3,0.3,0.3}
+
+\lstset{
+ basicstyle=\setstretch{1.05}\ttfamily\footnotesize,
+ language=Python,
+ keywordstyle=\bfseries,
+ stringstyle=\color{blue},
+ commentstyle=\color{gray}\textit,
+ fancyvrb=true,
+ showstringspaces=false,
+ %keywords={def,while,if,elif,return,class,get,set,new,guard_class}
+ numberstyle = \tiny,
+ numbersep = -20pt,
+}
+
+
\usepackage[utf8x]{inputenc}
@@ -140,5 +161,68 @@
\end{itemize}
\end{frame}
+\begin{frame}
+ \frametitle{Demo}
+ \vfill
+ \begin{itemize}
+ \item Video analytics research example
+ \item Experimenten driven
+ \item Custom loops over the pixels
+ \item Good enough performace
+ \end{itemize}
+ \vfill
+ \begin{itemize}
+ \item Image class with task specific features
+ \begin{itemize}
+ \item Zero-padded
+ \item Clips updates within border
+ \end{itemize}
+ \item @autoreload decorator reloading functions on code change
+ \item ReloadHack class reloads and reinstanciates on code change
+ \end{itemize}
+ \vfill
+\end{frame}
+
+\begin{frame}[fragile]
+ \frametitle{Image class}
+\begin{lstlisting}[mathescape,basicstyle=\setstretch{1.05}\ttfamily\scriptsize]
+class Image(object):
+ def __getitem__(self, (x, y)):
+ if 0 <= x < self.width and 0 <= y < self.height:
+ return self.data[y * self.width + x]
+ return 0
+
+ def __setitem__(self, (x, y), value):
+ if 0 <= x < self.width and 0 <= y < self.height:
+ self.data[y * self.width + x] = value
+
+ __add__ = binop(float.__add__)
+ __sub__ = binop(float.__sub__)
+ __mul__ = binop(float.__mul__)
+ __div__ = binop(float.__div__)
+ __pow__ = binop(float.__pow__)
+
+ ...
+\end{lstlisting}
+\end{frame}
+
+\begin{frame}[fragile]
+ \frametitle{Image class}
+\begin{lstlisting}[mathescape,basicstyle=\setstretch{1.05}\ttfamily\scriptsize]
+def binop(op):
+ def f(a, b):
+ if not isinstance(a, Image):
+ a = ConstantImage(b.width, b.height, a)
+ if not isinstance(b, Image):
+ b = ConstantImage(a.width, a.height, b)
+
+ out = a.new(typecode='d')
+ for x, y in a.indexes():
+ out[x, y] = op(float(a[x, y]), float(b[x, y]))
+
+ return out
+ return f
+\end{lstlisting}
+\end{frame}
\end{document}
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